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At least 4 years of experience in data engineering working with Big Data Technologies: Apache Spark, Pyspark, Hadoop, and DataBricks with delta lake. Requires a minimum of a bachelor's or foreign equivalent degree in Management Information Systems, Computer Science and Engineering, or a related field plus 4 years of experience as a software developer, data engineer, or related occupation.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science,) to provide customized automated solutions across multiple business segments.
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Must be proficient in SQL and understand different data modeling techniques using Big Data frameworks such as Presto/Snowflake/Databricks. The FreeWheel Data Processing and Data Warehouse team is responsible for creating and managing the frameworks for large scale ETL using modern frameworks such as DBT and Spark.
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Develop data, analytic, and data science models using Python, PySpark, Large Language Models (LLM) algorithms, and working with other big data tools such as AutoML, BigQuery(BQ), BQML, DataPrep and Jupyter Notebook.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Our team brings together experts in data science, electronics, and healthcare and has partnered with leading healthcare and academic institutions to introduce the next generation of patient waveform monitoring and analytics solutions.
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The Senior Data Scientist is a member of the Data Science Center, which supports Cornerstone's litigation teams with data wrangling and advanced analytics programming in an environment with multiple simultaneous big data projects.
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Develop and optimize big data processing using Spark and PySpark within the Databricks environment. Design, build, and maintain scalable and reliable data pipelines using Infrastructure as Code (IaC) principles and Databricks along with Datadog.
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Responsible for assisting the Lead Data Scientist and the data science team with building solution accelerators, pipeline development, and building integrations with our LLM Products on the Databricks platform.
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Seeking a Summer Semester 2024 Data Science Intern currently enrolled in college and seeking a data-centric or technology-centric degree. Currently pursuing a degree in Data Science, Statistics, Computer Science, Economics / Econometrics, Chemical Engineering, or related field with an emphasis on machine learning or statistical methods for data analysis.
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Generates analytical and data insights to drive business actions using SQL, Qlik/Tableau, Python, and R. Creates complex, automated analytics solutions using Text Mining and Natural Language Processing (NLP) tools.
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Geospatial tools, Big Data and Graph Products (Hadoop, MapReduce, Spark, ElasticSearch, Neo4j), Linux, OpenStack, AWS, Ansible, SQL/NoSQL, Text Processing, Cloud Services, Containerization, Infrastructure as Code (IAC), and more.
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Programming knowledge required for data analysis and automated data acquisition (Matlab/Python/Mathematica) We are seeking an Intern Year Round - R&D Undergrad to support integrated photonic research in the Photonics and Phononics Microsystem department for various national security applications including quantum, optical communications, sensing, and RF signal processing.
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An Associates degree, or higher, in Data Science, Data Engineering, Data Management, Information Science, or another related field OR equivalent experience. Utilize Google Cloud Platform (GCP) services for collecting, storing, and processing large volumes of data.
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5+ years in designing, solutioning the Databricks, Snowflake, PySpark and Big data tools including DataOps, Data engineering, Data Integration, Data Orchestration and Data Marketplace.
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big data science processing python jobs Company: Pwc
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